Data scientist
AceStack LLC
Title : Data scientist
Location : Newark, Delaware Must Have Technical/Functional Skills :
Primary: Artificial intelligence, ML, LLM
Secondary: Data science, Python, NLP, Agile tools
Experience: 10+ Roles & Responsibilities
Location : Newark, Delaware Must Have Technical/Functional Skills :
Primary: Artificial intelligence, ML, LLM
Secondary: Data science, Python, NLP, Agile tools
Experience: 10+ Roles & Responsibilities
- Experience with NLP, deep learning, or time series analysis.
- Experience deploying models to production environments.
- Knowledge of regulatory requirements and compliance in banking and finance.
- Familiarity with MLOps practices and tools.
- Experience with Agile methodology and tools (JIRA or Rally)
- Proven experience as a Data Scientist in Banking or a similar domain
- Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering.
- Strong knowledge of statistics, machine learning, and data mining techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with Big Data Platforms (Hadoop).
- Familiarity with SQL and working with relational databases.
- Excellent problem-solving, communication, and collaboration skills.
- Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
- Analyze large financial datasets to extract insights and support business decisions.
- Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).
- Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Communicate findings and recommendations through reports, dashboards, and presentations.
- Work with data engineers to ensure data quality and pipeline reliability.
Vacancy posted 2 days ago
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